School of Information, Shanghai Ocean University, Shanghai 201306, China.
Key Laboratory of Fishery Information, Ministry of Agriculture, Shanghai 200335, China.
Sensors (Basel). 2022 Aug 30;22(17):6544. doi: 10.3390/s22176544.
Visual prostheses, used to assist in restoring functional vision to the visually impaired, convert captured external images into corresponding electrical stimulation patterns that are stimulated by implanted microelectrodes to induce phosphenes and eventually visual perception. Detecting and providing useful visual information to the prosthesis wearer under limited artificial vision has been an important concern in the field of visual prosthesis. Along with the development of prosthetic device design and stimulus encoding methods, researchers have explored the possibility of the application of computer vision by simulating visual perception under prosthetic vision. Effective image processing in computer vision is performed to optimize artificial visual information and improve the ability to restore various important visual functions in implant recipients, allowing them to better achieve their daily demands. This paper first reviews the recent clinical implantation of different types of visual prostheses, summarizes the artificial visual perception of implant recipients, and especially focuses on its irregularities, such as dropout and distorted phosphenes. Then, the important aspects of computer vision in the optimization of visual information processing are reviewed, and the possibilities and shortcomings of these solutions are discussed. Ultimately, the development direction and emphasis issues for improving the performance of visual prosthesis devices are summarized.
视觉假体用于帮助视力障碍者恢复功能性视觉，将捕获的外部图像转换为相应的电刺激模式，通过植入的微电极进行刺激，从而产生光幻视，最终实现视觉感知。在有限的人工视觉条件下，为假体佩戴者检测和提供有用的视觉信息一直是视觉假体领域的一个重要关注点。随着假体设备设计和刺激编码方法的发展，研究人员通过模拟假体视觉下的视觉感知，探索了计算机视觉应用的可能性。在计算机视觉中进行有效的图像处理，以优化人工视觉信息，提高植入物接受者恢复各种重要视觉功能的能力，使其能够更好地满足日常需求。本文首先回顾了不同类型视觉假体的最新临床植入情况，总结了植入物接受者的人工视觉感知，特别是重点关注了其不规则性，如光幻视缺失和扭曲。然后，回顾了计算机视觉在视觉信息处理优化中的重要方面，并讨论了这些解决方案的可能性和局限性。最终，总结了提高视觉假体设备性能的发展方向和重点问题。
